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This paper aims to empirically investigate the impact of the carbon intensity constraint policy (CICP) on green innovation.

This study takes the implementation of the CICP as a quasi-natural experiment and uses a quasi–difference-in-difference method to investigate the impact of the CICP on firm green innovation from a microeconomic perspective.

The CICP significantly limits the quality of firms’ green innovation. Among the range of green patents, the CICP distorts only patents related to CO₂ emissions. The inhibitory effect is more pronounced in non-state-owned enterprises and heavily polluting firms. R&D investment and green investor are identified as the main mechanism.

These findings provide evidence for the influence of the CICP on firm green innovation, which can guide policymakers in China and other emerging economies that prioritize carbon intensity constraint targets and the improvement of relevant auxiliary measures.

Governments and firms should have a comprehensive understanding of environmental policies and corporate behavior and need to mitigate the negative impact through a combination of measures.

This study contributes to the literature by providing additional empirical evidence regarding the two opposing sides of the ongoing debate on the positive or negative effects of CICP. It also provides new evidence on the policy effect of the CICP on firm green innovation, together with its mechanisms and heterogeneous influences.

Practical needs in geographical information systems (GIS) have led to the investigation of formal, sound and computational methods for spatial analysis. Since models based on topology of R² have a serious problem of incapability of being applied directly for practical computations, we have noticed that models developed on the raster space can overcome this problem. Because some models based on vector spaces have been effectively used in practical applications, we then introduce the idea of using the raster space as our platform to study spatial entities of vector spaces. In this paper, we use raster spaces to study not only morphological changes of spatial entities of vector spaces, but also equal relations and connectedness of spatial entities of vector spaces. Based on the discovery that all these concepts contain relativity, we then introduce several new concepts, such as observable equivalence, strong connectedness, and weak connectedness. Additionally, we present a possible method of employing raster spaces to study spatial relations of spatial entities of vector spaces. Since the traditional raster spaces could not be used directly, we first construct a new model, called pansystems model, for the concept of raster spaces, then develop a procedure to convert a representation of a spatial entity in vector spaces to that of the spatial entity in a raster space. Such conversions are called approximation mappings.

The purpose of this paper is to analyze the order relation of existing in computer science, define and analyze macroscopical‐order and semi‐partial order in pansystems theory, and explored the relationship between macroscopical‐order and semi‐partial order. It is an attempt to analyze problems in computer science by using pansystem's philosophy with mathematics and technology (PMT)‐combination.

Sorting is an important operation in computer science. The main task of the sorting operation is to rearrange the random serial of records into an ordered serial of records according to some keywords. The authors know that there are many sorting methods in computer science. The authors discussed the essence of semi‐partial order and macroscopical‐order and the transformation between semi‐partial order and macroscopical‐order from the point of panscale's view; the essence of this transformation is revealed. By combining the PMT (PMT‐combination), it is easy for the authors to get a deep understanding of the technology in computer science.

The need for application of the order relation, the authors explored the relationship between macroscopical‐order and semi‐partial order. Combined with PanScale, the authors analyzed the essence of the transformation between macroscopical‐order and semi‐partial order. And applied it to the computer science.

The order relation is an important problem in computer science, as well as existing in our daily life, at the same time this problem has a scale concept in it, the authors need to further research and study.

A very useful method for research of the order relation in computer science.

To explore the relationship between macroscopical‐order and semi‐partial order. Combined with PanScale, the authors analyzed the essence of the transformation between macroscopical‐order and semi‐partial order. And applied macroscopical‐order and semi‐partial order to the computer science.

The study of spatial entities needs a model that is not only fully observable and controllable, but also computable. Euclidean topology on R² is a usually used tool for this study, but it has the following two weaknesses. First, there exists some phenomenon of human perception of the spatial entity that cannot be simulated by it. Second, its observation of the basic geometric properties (interior, exterior, boundary) of the spatial entity lacks computability so that the model based on it lacks computability and cannot be directly used to practical systems. Consequently, in this paper, we present another tool for studying spatial entities – raster quasi‐topology on R² and then compare the two tools.

Tables are widely used to store information. It belongs to table decision making to choose the pivotal fields or partition fields into conditions and decisions to discover their causality. This paper is intended to list the basic operations to achieve the aims and to explore possible solving methods.

Methods, to some degree, means problem transformation. That is, a problem can be converted to another problem and then to be solved. This paper is developed to explore possible problem transformations surrounding the basic table decision operations.

The basic table decision operations can be converted to two different types of problems.

This paper provides formal description of the basic table decision operations and their transforming schemes so that strict mathematical proof can be used to guarantee their correctness.

The role of data analytics is significantly important in manufacturing industries as it holds the key to address sustainability challenges and handle the large amount of data generated from different types of manufacturing operations. The present study, therefore, aims to conduct a systematic and bibliometric-based review in the applications of machine learning (ML) techniques for sustainable manufacturing (SM).

In the present study, the authors use a bibliometric review approach that is focused on the statistical analysis of published scientific documents with an unbiased objective of the current status and future research potential of ML applications in sustainable manufacturing.

The present study highlights how manufacturing industries can benefit from ML techniques when applied to address SM issues. Based on the findings, a ML-SM framework is proposed. The framework will be helpful to researchers, policymakers and practitioners to provide guidelines on the successful management of SM practices.

A comprehensive and bibliometric review of opportunities for ML techniques in SM with a framework is still limited in the available literature. This study addresses the bibliometric analysis of ML applications in SM, which further adds to the originality.

Awe is an important yet largely overlooked emotion in tourism. This paper aims to reveal the underlying mechanism of the effects of nature-inspired awe on stimulating tourists' environmentally responsible behavior (TERB) intention by delving into the serial mediation effect of state construal level, small-self perception and state connectedness to nature (CNT).

This research was built upon the appraisal theory of emotion. Study 1 was a scenario-induced quasi-experimental study to test the proposed model linking awe, small-self perception, state CNT and TERB intention. A total of 271 valid questionnaires were collected via an online questionnaire platform. Study 2 was a field study designed to replicate the findings of Study 1 and further uncover the mediating role of the state construal level. Study 2 was conducted in Baiyun Mountain Scenic Area, China. A total of 229 valid questionnaires were used for analysis.

This research deepens our understanding of the effects of nature-inspired awe in the tourism and travel fields. This research uncovers the underlying mechanism by which awe increases TERB intention through serial mediation. Specifically, awe inspires tourists to apply a higher level of construal, which makes tourists perceive a smaller self, making them feel more connected to nature and exert more intention to adopt ERB.

This research linked tourists' mindset (i.e. state construal level), internal (i.e. small-self perception) and external (i.e. state CNT) cognition in an integrated model, explaining how nature-inspired awe contributes to eliciting TERB intention. The findings add critical theoretical contributions to the travel and tourism literature and provide important implications for the tourism industry to inspire awe and benefit from such emotion.

敬畏在旅游中是一种十分重要的情绪, 但却鲜少被关注。本研究旨在深入研究解释水平状态、小我感知和自然关联感的链式中介效应, 揭示自然敬畏激发游客环境责任行为意向的内在作用机制。

本研究的基础理论为情绪评价理论。研究一通过场景诱导的准实验研究, 检验将敬畏、小我感知、自然关联感和游客责任行为意向的假设模型; 研究一以网络问卷平台收集的271份有效问卷数据进行分析。研究二是一项在中国白云山风景区开展的实地研究, 旨在检验研究一的研究结果, 并进一步揭示解释水平状态的中介效应; 研究二采用229份有效问卷数据进行分析。

本研究揭示了敬畏通过链式中介作用影响游客环境责任行为意向的内在作用机制, 深化了对自然敬畏在旅游和旅行领域价值的理解。具体而言, 本研究发现敬畏激发了游客启动更高的解释水平, 这使游客感知到更渺小的自我, 并促使他们感到与自然的联系更加紧密, 从而提升了游客的环境责任行为意向。

本研究将游客的心理定式（即解释水平状态）、内在认知（即小我感知）和外部认知（即自然关联感）整合到一个综合模型中, 解释了自然敬畏引发游客环境责任行为意向的作用机制。研究结果为旅游研究提供了重要的理论贡献, 也为旅游行业如何在实践中激发敬畏感并从中获得效益提供了重要的实践启示。

El asombro es una emoción importante pero en gran medida ignorada en el turismo. Esta investigación pretende revelar el mecanismo subyacente de los efectos del asombro inspirado por la naturaleza en la estimulación de la intención del comportamiento responsable con el medio ambiente (TERB) de los turistas, profundizando en el efecto mediador en serie del nivel de interpretación del estado, la percepción del pequeño yo y la conexión del estado con la naturaleza (CNT).

Esta investigación se basó en la teoría de la valoración de la emoción. El estudio 1 fue un estudio cuasiexperimental inducido por escenarios para probar el modelo propuesto que vincula el sentimiento de asombro, la percepción del pequeño yo, el estado CNT y la intención TERB. Se recogieron 271 cuestionarios válidos a través de una plataforma de cuestionarios en línea. El Estudio 2 fue un estudio de campo diseñado para replicar los hallazgos del Estudio 1 y descubrir más a fondo el papel mediador del nivel de interpretación del estado. El estudio 2 se llevó a cabo en la zona escénica de la montaña de Baiyun (China). Se utilizó un total de 229 cuestionarios válidos para el análisis.

Esta investigación profundiza en nuestra comprensión de los efectos del asombro inspirado por la naturaleza en los ámbitos del turismo y los viajes. Esta investigación descubre el mecanismo subyacente por el que el asombro aumenta la intención de TERB a través de la mediación en serie. En concreto, el asombro inspira a los turistas a aplicar un mayor nivel de interpretación, lo que hace que los turistas perciban un yo más pequeño, lo que les hace sentirse más conectados con la naturaleza y ejercer así una mayor intención de adoptar TERB.

Esta investigación vinculó la mentalidad de los turistas (es decir, el nivel de nterpretación del estado), la cognición interna (es decir, la percepción de un yo más pequeño) y la externa (es decir, la CNT del estado) en un modelo integrado, explicando cómo el asombro inspirado por la naturaleza contribuye a suscitar la intención TERB. Los hallazgos añaden contribuciones teóricas críticas a la literatura sobre viajes y turismo y proporcionan implicaciones importantes para que la industria turística inspire asombro y se beneficie de dicha emoción.

Due to their very different contexts, the responses made by property hosts to online reviews can differ from those posted by hotel managers. Thus, the purpose of this study is to investigate the determinants of the responding behavior of hosts on peer-to-peer property rental platforms.

This study applied a comprehensive framework based on the theory of planned behavior. Empirical models are constructed based on 89,967 guest reviews with their associated responses to reveal the responding pattern of property hosts.

Unlike hotel managers, property hosts are more likely to reply to positive than to negative reviews; moreover, when they do choose to respond to negative reviews, they are likely to do so negatively, in a “tit-for-tat” way. This study also finds that one reason for the difference of responding patterns between property hosts and hotel managers is the hosts’ lack of experience of consumer relationship management and service recovery.

This study provides a good start point for future theoretical development regarding effective responding strategy on peer-to-peer property rental platforms, as well as some useful implications for practitioners.

This study is an early attempt to analyze the impact of the particularity of emerging platforms on the responding behavior of service providers based on a comprehensive conceptual framework and empirical model thus provides a good starting point for the further investigation of effective response strategies on these emerging platforms.

The purpose of this paper is to revisit the dynamic linkages between the US and the national securitized real estate markets of each of the nine Asian-Pacific (APAC) economies in time-frequency domain.

Wavelet decomposition via multi-resolution analysis is employed as an empirical methodology to consider time-scale issue in studying the dynamic changes of the US–APAC cross-real estate interdependence.

The strength and direction of return correlation, return exogeneity, shock impulse response, market connectivity and causality interactions change when specific time-scales are involved. The US market correlates with the APAC markets weakly or moderately in the three investment horizons with increasing strength of lead-lag interdependence in the long-run. Moreover, there are shifts in the net total directional volatility connectivity effects at the five scales among the markets.

Given the focus of the five approaches and associated indicators, the picture that emerges from the empirical results may not completely uniform. However, long-term investors and financial institutions should evaluate the time-scale based dynamics to derive a well-informed portfolio decision.

Future research is needed to ascertain whether the time-frequency findings can be generalizable to the regional and global context. Additional studies are required to identify the factors that contribute to the changes in the global and regional connectivity across the markets over the three investment horizons.

This study has successfully decomposed the various market linkage indicators into scale-dependent sub-components. As such, market integration in the Asia-Pacific real estate markets is a “multi-scale” phenomenon.